Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth

By Peter R. Colarco, A. Silva, Mian Chin, T. Diehl. 2010

529 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a24268a4c8a0b7c965efe1074f28c1b6fe28f776

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Citations in the corpus

The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1 (2019, methodology): “, 2004; Colarco et al., 2010; Lu et al., 2013; Peters-Lidard et al., 2015). We first summarize the original GOCART dust emission scheme as it was documented by Ginoux et al. (2001). The original GOCART dust emission scheme calculates dust particle emissions separately for discrete bins of soil grain”
Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems (2016, methodology): “ERA-Interim, ERA-20C, and JRA-55) therefore apply the simplified “incremental 4DVar” approach described by Courtier et al. (1994). Under this approach, the model state at the beginning of the assimilation window is iteratively adjusted to obtain progressively better fits between the assimilated obse”
Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, methodology): “The MERRA aerosol field is driven by the Georgia Tech/Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model (Chin et al., 2002), and modified by assimilating aerosol optical depth from the MODIS instruments onboard the Terra and Aqua satellites (Colarco et al., 2010).”
Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis (2014, methodology): “By including an aerosol transport module based on the Goddard Chemistry, Aerosol, Radiation, and Transport model (GOCART; Chin et al., 2002), GEOS-5 provides the capability for studying atmospheric composition and aerosol–chemistry–climate interactions (Colarco et al., 2010).”
Impact of radiatively interactive dust aerosols in the NASA GEOS‐5 climate model: Sensitivity to dust particle shape and refractive index (2014, methodology): “Our emissions are similar in magnitude to the multiyear simulations presented in the GEOS-4 based version of our modeling system that employed the same particle size range and essentially the same dust mobilization scheme (1970 Tg yr 1) [Colarco et al., 2010].”
The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System Description and Data Assimilation Evaluation. (2017, methodology): “Aerosols in MERRA-2 are simulated with a radiatively coupled version of the Goddard Chemistry, Aerosol, Radiation, and Transport model (GOCART, Chin et al. 2002; Colarco et al. 2010).”
Stratospheric ozone response to sulfate geoengineering: Results from the Geoengineering Model Intercomparison Project (GeoMIP) (2014, methodology): “…System, version 5 (GEOS-5) [Rienecker et al., 2011] general circulation model and the Georgia Institute of Technology-Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) module [Chin et al., 2000; Colarco et al., 2010], and a stratospheric chemistry module [Pawson et al., 2008].”
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). (2017, methodology): “The GOCARTmodel (Chin et al. 2002; Colarco et al. 2010) is coupled with the GEOS atmospheric model to simulate the life cycles of five externally mixed aerosol species, including dust, sea salt, black carbon, organic carbon, and sulfate.”